Big Data in education: Pedagogy and research.

Sonst. Personen	Prodromou, Theodosia (Hrsg.)
Titel	Big Data in education: Pedagogy and research.
Quelle	Cham: Imprint: Springer (2021), xii, 247 S. PDF als Volltext (1); PDF als Volltext (2) Link als defekt meldenVerfügbarkeit
Reihe	Policy implications of research in education. 13
Beigaben	Illustrationen 50; Diagramme
Zusatzinformation	Zusammenfassung
Sprache	englisch
Dokumenttyp	online; gedruckt; Monographie
ISBN	978-3-030-76840-9; 978-3-030-76841-6; 978-3-030-76842-3; 978-3-030-76843-0
DOI	10.1007/978-3-030-76841-6
Schlagwörter	Pädagogik; Bildungsforschung; Australien; Brasilien; Curriculum; Deutschland; Ethik; Information; Kooperation; Museum; Pädagogik; Bildungssystem; Schule; Statistik; Theorie; Bildungssystem; USA; Projekt; Analyse; Bildungsforschung; Datenanalyse; Daten; Elementarbereich; Hochschulbildung; Internet; Elementarbereich; Schule; Primarbereich; Sekundarbereich; Schülerleistung; Feedback; Lernprozess; Curriculum; Projekt; Datenanalyse; Ethik; Hochschulbildung; Statistik; Master-Studiengang; Analyse; Daten; Kooperation; Theorie; Internet; Museum; Information; Australien; Brasilien; Deutschland; USA
Abstract	This book discusses how Big Data could be implemented in educational settings and research, using empirical data and suggesting both best practices and areas in which to invest future research and development. It also explores: 1) the use of learning analytics to improve learning and teaching; 2) the opportunities and challenges of learning analytics in education. As Big Data becomes a common part of the fabric of our world, education and research are challenged to use this data to improve educational and research systems, and also are tasked with teaching coming generations to deal with Big Data both effectively and ethically. [...] This book offers guidance to researchers who are seeking suitable topics to explore. It presents research into the skills needed by data practitioners (data analysts, data managers, statisticians, and data consumers, academics), and provides insights into the statistical skills, thinking and reasoning needed by educators and researchers in the future to work with Big Data. (DIPF/Orig.).
Erfasst von	DIPF \| Leibniz-Institut für Bildungsforschung und Bildungsinformation, Frankfurt am Main
Update	2022/2